SPSRA {DLMtool} | R Documentation |
A surplus production equivalent of DB-SRA that uses a demographically derived prior for intrinsic rate of increase (McAllister method, below)
SPSRA(x, Data, reps = 100, plot = FALSE) SPSRA_ML(x, Data, reps = 100, plot = FALSE)
x |
A position in the data object |
Data |
A data object |
reps |
The number of stochastic samples of the MP recommendation(s) |
plot |
Logical. Show the plot? |
The TAC is calculated as:
\textrm{TAC} = K D \frac{r}{2}
where K is estimated unfished biomass, D is depletion, and r is the estimated intrinsic rate of increase.
Like all SRA methods, this MP requires a time-series of catch extending from the beginning of exploitation.
An object of class Rec-class
with the TAC
slot populated with a numeric vector of length reps
SPSRA
: Base version. Requires an estimate of current depletion
SPSRA_ML
: Variant that uses a mean-length mortality estimator to obtain
a prior for current stock depletion.
See Data-class
for information on the Data
object
SPSRA
: Cat, Dep, FMSY_M, L50, MaxAge, Mort, steep, vbK, vbLinf, vbt0, wla, wlb
SPSRA_ML
: CAL, Cat, Dep, FMSY_M, L50, Lbar, Lc, MaxAge, Mort, steep, vbK, vbLinf, vbt0, wla, wlb
See Online Documentation for correctly rendered equations
T. Carruthers
McAllister, M.K., Pikitch, E.K., and Babcock, E.A. 2001. Using demographic methods to construct Bayesian priors for the intrinsic rate of increase in the Schaefer model and implications for stock rebuilding. Can. J. Fish. Aquat. Sci. 58: 1871-1890.
Other Surplus production MPs:
Fadapt()
,
Rcontrol()
,
SPMSY()
,
SPmod()
,
SPslope()
SPSRA(1, MSEtool::SimulatedData, plot=TRUE) SPSRA_ML(1, MSEtool::SimulatedData, plot=TRUE)